Decision Analytics Architect

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you.

Position Summary: The CS BI&A team has a clear mission: transform complex data into actionable insights that accelerate strategic development and enable operational transformation across Client Services. Our analytics professionals deliver on this mission by designing data‑driven solutions, surfacing systemic inefficiencies, and supporting initiatives that strengthen the service experience for clients and internal stakeholders. As a key pillar within the broader BI&A organization, this role plays an essential part in advancing operational excellence and strategic decision‑making. Success requires strong analytical leadership, deep business context, and the ability to translate data into meaningful action. You will partner closely with Client Services leaders, initiative owners, and cross‑functional teams to identify opportunities, enhance processes, and elevate performance across the client‑facing ecosystem. You will regularly engage with BI&A and CS leadership, ensuring your insights contribute directly to streamlining operations, supporting strategic priorities, and enabling scalable, high‑quality service delivery. Responsibilities: Essential Functions In this role in the CS BI&A team, you will execute analytics and reporting initiatives that provide data‑driven insights to Client Services leaders, operational teams, and cross‑functional stakeholders. This role requires strong analytical skills, an ability to tell compelling data stories, and comfort operating in a fast‑paced, dynamic environment. Specific responsibilities include: Operational Performance Analytics: Diagnose operational inefficiencies across workflows, processes, and client interactions. Provide data‑driven insights that reduce friction, enhance service levels, and unlock capacity within Client Services operations. Strategic Initiative Support: Partner with initiative owners to quantify opportunities, measure progress, and evaluate impact. Provide analytical guidance and structured insights that shape strategic decisions and drive meaningful outcomes. Client Services KPIs: Develop and maintain KPIs that measure operational health, service quality, and delivery performance. Identify trends, surface emerging issues, and highlight opportunities for improvement. Inefficiency & Root‑Cause Analysis: Conduct deep‑dive analyses on service processes, case flows, and operational bottlenecks. Build frameworks and analytical approaches to uncover root causes and inform sustainable solutions. Client Insights & Engagement Support: Provide data and insights that strengthen interactions with clients and partners. Support meetings, forums, and executive engagements with clear narratives that demonstrate value and inform strategy. Ad Hoc Analytics & Reporting: Respond to urgent and emerging business needs with timely, accurate analysis. Break down trends across product, workflow, region, customer segment, and other relevant dimensions. Data‑Driven Decision Making: Elevate the role of analytics across Client Services. Deliver insights through compelling visualizations and narratives tailored to executives and operational leaders. Act as a strategic advisor to CS leadership and cross‑functional partners. Analytical Tools & Solutions: Build dashboards, tools, and analytical assets that provide scalable visibility into operational performance. Support both retrospective and predictive analytics to enable proactive decision‑making. Cross‑Functional Collaboration: Partner with BI&A, Operations, Strategy, Technology, and regional teams to align on metrics, deliver integrated insights, and support transformations that enhance the overall operational strategy. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Basic Qualifications 3 years of work experience with a bachelor’s degree 2 years of work experience with an Advanced degree (e.g., Masters/MBA/JD/MD) 0-1 years of work experience with a PhD English proficiency required Preferred Qualifications 5 years of experience with a bachelor’s degree (quantitative field preferred) or 8 years of experience with an Advanced Degree (quantitative or business degree highly desirable). 5+ years of progressive success in roles of increasing responsibility. 3+ years working in analytics, consulting, strategic operations or insight delivery. Proven experience in data analytics, strategic advisory roles, and AI integration. Excellent presentation and communication abilities. Ability to identify and leverage market trends for strategic advantage. Knowledge of Visa’s products, services, and client engagement strategies. Proficiency in data analysis and utilization of various data environments and tools. High-level understanding of manipulating data from a variety of sources. Big data experience (Hadoop, Hive, Spark), data visualization experience (Tableau, Power BI) and/or SQL experience are critical skills – this role is about both doing and delivering. Strong verbal, written, motivational and interpersonal skills are required.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.